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    • Project Overview
    • Methodology & Solutions
    • Synergies
  • Partners
  • Green ICT DIGEST
  • Insights & Events
  • Resources
    • Results
    • Deliverables
    • Publications
    • Articles
    • Videos
    • Dissemination Material
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Green ICT DIGEST

6GArchitectureData CollectionDisseminationEnergy EcosystemEnergy MeasurementsEnergy MetricsEnergy OptimisationExploitationGreen IncentivesGreen OrchestrationIncentive MechanismOrchestrationPolicy & RegulationsRequirements & ScenariosResource InterconnectivitySolutions AssessmentStandardisationSystem Architecture

Carbon Footprint of The Most Popular Social Media Platforms

A Survey on Energy Consumption and Environmental Impact of Video Streaming

The Environmental Sustainability of Digital Content Consumption

Factcheck: What is the Carbon Footprint of Streaming Video on Netflix?

Flexibility Management for Residential Users Under Participation Uncertainty

The Effect of Altruism in Automated Demand Response for Residential Users

Empowering User-Centered Carbon Management: Bridging Individual Preferences and Sociotechnical Advancements

Carbon Footprint Tracking Apps. Does Feedback Help Reduce Carbon Emissions?

A Win-win Scheme for Improving the Environmental Sustainability of University Commuters’ Mobility and Getting Environmental Credits

Paying People to Protect the Environment: A Meta-analysis of Financial Incentive Interventions to Promote Pro-environmental Behaviours

An Agent Based Model of Environmental Awareness and Limited Resource Consumption

An Awareness Based Approach to Avoid Rebound Effects in ICTs

Reconsidering CO2 Emissions from Computer Vision

Towards Energy Consumption and Carbon Footprint Testing for AI-driven IoT Services

Achieving Net Zero Emissions with Machine Learning: The Challenge Ahead

Cryptocarbon: How Much is the Corrective Tax?

Training a Single AI Model Can Emit As Much Carbon As Five Cars in Their Lifetimes

Aligning Artificial Intelligence with Climate Change Mitigation

Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning

Carbon Emissions and Large Neural Network Training

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Funded by the European Union. The project is supported by Smart Networks and Services Joint Undertaking (SNS JU) and its members. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or SNS JU. Neither the European Union nor the granting authority can be held responsible for them.

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